Collibra for retail and consumer packaged goods

Drive customer loyalty with data you can trust

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Give your teams a good dose of data therapy. Provide them with a single place to confidently shop for data, improving data literacy, transparency and collaboration. In the retail industry, Collibra data governance platform helps drive personalized omnichannel experiences, customer loyalty and streamlined supply chains while ensuring sensitive data is protected and secure.

  • ~50%

    Retail executives who aren’t confident in their company's ability to use AI effectively across theirbusinesses.1

  • 54%

    Retail business leaders who say they do not have a single view of their customers acrosschannels.1

How Collibra can help

Provide personalized journeys

Drive more effective, customer-centric experiences by ensuring teams can find, understand and access valuable customer data from one central location, increasing customer conversions across all touchpoints and channels.

Deliver trusted AI

Unify governance for data and AI across every system and data source. Deliver reliable, traceable and compliant AI use cases, powered by high-quality data, for personalized shopping experiences and optimized supply chains.

Build trust by protecting customer data

Protect information to ensure proper use and instill customer confidence. Discover, classify and tag sensitive customer data at scale to maintain compliance with GDPR and CCPA regulatory mandates.

Future-proof cloud data migration and modernization

Take a proactive, governed approach to your data migration strategy. Focus on prioritizing high-value data and assessing migration risks to ensure a smooth transition that optimizes your return on investment. Drive adoption and enhance performance long after the migration is complete.

Ensure data reliability

Improve the understanding and health of your data. Provide clear data quality metrics for data and AI use cases. Mitigate risks throughout the entire supply chain. Increase new business and renewals with reliable data that provides a true 360 degree view of your customers.

Accelerate self-service analytics

Empower data citizens to easily find and collaborate on data, reports and AI models. Leverage popular business intelligence (BI) tools, like Tableau, and ensure a complete view and understanding of data for better decision making.

Collibra Platform

The only complete platform to provide automated visibility, context, and control, enriching data context with every use.

  • AI Governance
  • Data Catalog
  • Data Governance
  • Data Lineage
  • Data Notebook
  • Data Privacy
  • Data Quality & Observability
  • Protect
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Customer stories

Retail and consumer goods

L’Oréal expedites product time to market with data

Retail and consumer goods

HEINEKEN relies on data to become the best connected brewer

See all customer stories

Frequently asked questions

  • What is data governance in retail?

    Data governance in the retail industry is challenging, particularly because of various data protection acts. However, consumer data can provide valuable insights into purchasing behavior and market trends. When you purchase a product, you hand a retailer access to a wealth of personal information.

    The type of card you use for purchasing, the product purchased and the location, date and time of sale are all accessible. This private information can be vital business feedback for retailers. From this data, retailers can make informed decisions about trends, analyze how to beat competitors and put measures in place to ensure customers return. However, the difficulty comes when you have to protect a consumer's privacy.

    Data governance in retail can help you harness important business information from consumers while protecting their privacy. Data governance helps unlock the business value of retail data while upholding all legal aspects and privacy and security laws. Companies wanting to draw deeper insights from data need proper data governance management that can help boost profits while protecting customers' rights.

  • What are the challenges of managing data in the retail industry?

    The exchange of data can be complex. Data sources come from various suppliers and warehouses, and between point-of-sale systems, e-commerce, referral programs, email subscriber lists and products sold across different locations, there's a lot of valuable information changing hands. Streamlining this data is challenging, and there are a multitude of InfoSec and privacy rules in place to protect sensitive data. To keep track of data from all the various sources, you need seamless integration between physical and online stores, mobile apps and storage places.

    Because of the concern about data breaches and how organizations use sensitive information, a data governance platform is needed to address the complexities of handling data. One wrong move and your retail business could end up in court for breaching privacy laws. From AI governance software to data governance platforms, we can assist with secure data collection.

  • What are the benefits of data governance for retail businesses?

    A data governance platform can ensure you follow security protocols while leveraging consumer data. It's a structured approach to managing data through policies and processes that ensures accuracy. Raw data can be turned into a strategic asset if it's managed and kept secure.

    Here's how good data can be used to improve retail businesses, alongside the other various benefits:

    • There's improved decision-making from leaders based on accurate reports developed from clean data
    • You get streamlined supply chain management where product life cycles and stock levels are standardized across the board
    • Stronger connections and accountability for data helps align departments so teams can work together
    • By using advanced business insights through analytics, you can reduce marketing costs by making more informed decisions
    • Enhancing efficiency, data quality and compliance greatly reduces the risk of data breaches
    • Purchase history from customers can be segmented into detailed audiences for targeted marketing campaigns, offering more personalized experiences based on solid research

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